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Filters: 1 is biblio_year:2004 and 2 is biblio_type:Poster and 3 is biblio_year:2021 and Author is Trine B. Haugen [Reset Search]
Filters: 1 is biblio_year:2004 and 2 is biblio_type:Poster and 3 is biblio_year:2021 and Author is Trine B. Haugen [Reset Search]
Automatic Tracking of the ICSI procedure using Deep Learning." Human Reproduction 37, no. Supplement_1 (2022).
"Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos. ESHRE virtual 36th Annual Meeting: ESHRE, 2020.
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis In MediaEval 2019. CEUR Workshop Proceedings, 2019.
medico_2019_paper_2_ae_based_method_vajira.pdf (1.6 MB)

Medico Multimedia Task at MediaEval 2019 In MediaEval. CEUR Workshop Proceedings, 2019.
Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features In MediaEval. ceur ws org, 2019.
Stacked dense optical flows and dropout layers to predict sperm motility and morphology In MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France., 2019.
medico_2019_vajira_1.pdf (1.43 MB)

Using Deep Learning to Predict Motility and Morphology of Human Sperm In MediaEval 2019. CEUR Workshop Proceedings, 2019.